Researchers at the Karlsruhe Institute of Technology have developed a system for fully automated monitoring of ballscrew drives in machine tools. A camera integrated directly into the nut of the drive generates images that artificial intelligence continuously monitors for signs of wear, helping to reduce machine downtime.
Imported from the CTE archive to seed discussion on MFGAxis.
Originally published on CTE: 2020-01-30
CTE source: https://ctemag.com/news/artificial-intelligence-machine-tool-maintenance/
Legacy path: /artificial-intelligence-machine-tool-maintenance